Senior Data Scientist Advanced Analytics & AI in Procurement (f/m/d) Full Time

Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.

Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.

Job-ID: MER0002WXV

The mobility of tomorrow is not a coincidence but is based on data-driven decisions. Become a part of the new digital generation at Mercedes-Benz and help rewrite the automotive history of our company!

As the digital spearhead in Mercedes-Benz Cars Purchasing and Supplier Quality, we are revolutionizing the daily work of our colleagues. Advanced Analytics & AI are not just buzzwords for us; they are our passion that we get to live in our projects. We develop predictive models, implement the latest AI technologies, and serve as the architects of the data platform for our entire business area. With our digital projects, we create real added value through data-driven decision-making, not only making the work of our colleagues easier, but also realizing significant financial potential for our company.

Are you tired of endless proof-of-concept attempts and want to finally bring your ideas for the digital future of Mercedes-Benz to life? Join our young, dynamic team of data pioneers, digitalization visionaries, creative problem solvers, and tech-driven enthusiasts.

As a Senior Data Scientist Advanced Analytics & AI, the following exciting tasks await you:

• Independent implementation of digitalization projects in the areas of Advanced Analytics and Artificial Intelligence
• Identification, analysis, and evaluation of top-down/bottom-up process optimization potentials through qualitative and quantitative analyses
• Requirements engineering and rapid prototyping (Power BI/Python stack in Azure environment)
• Co- design of strategic, cross-functional data models for use in multiple analytics projects and integration into a project-spanning data layer
• Responsibility for data analysis from conceptualization through modeling to implementation using advanced analytics methods (data mining, machine learning, neural networks, etc.)
• Proficient application of agile software development methods and collaboration with international teams and the selection and collaboration with external development partners
• Ensuring compliance with all corporate security standards and the implementation of security policies and protocols to guarantee data integrity and privacy
• Application of digital methods such as Design Thinking or Scrum
• Sharing expertise with other team members and training users to ensure effective utilization of the developed tools and systems

What You Bring To The Table

• Completed degree in a natural sciences, mathematics, or business-related field
• Several years of professional experience in process analysis and optimization or software development in a dynamic-analytical work environment (e.g., in the automotive industry, software or startup sector, management consulting, or similar manufacturing sectors) and in the implementation of digitalization projects
• Extensive experience in the application of statistics, artificial intelligence methods, unsupervised and supervised learning, reinforcement learning, deep learning, and data modeling
• Knowledge and solid experience in planning and managing complex IT projects as well as familiarity with agile methods (Scrum, Kanban, etc.)
• Excellent knowledge of Azure services (e.g., ADF, Databricks, EventHub, ADLS, Monitoring, PowerBI Server, Azure SQL, Synapse, etc.), along with a deep understanding of API design and microservices
• Proficiency with technologies like Databricks, Azure Data Explorer, ML libraries (Scikit-learn, TensorFlow, Keras), etc., and visualization software (e.g., Qlik Sense, Tableau, Power BI)
• Outstanding programming language skills in relevant data science languages (Python, R) on large data processing frameworks (e.g., Azure Data Factory, Azure Fabrics, Databricks, etc.)
• Proficiency in project management tools (e.g., Confluence, Jira)
• Proficiency in both German and English

Personal Skills

• Exceptionally high analytical and conceptual skills
• Strong technical and digital understanding
• Strong teamwork skills and enthusiasm for cross-functional project work
• Curiosity and a desire to explore technological advancements in the cloud, analytics, and AI domains
• Strong desire for innovation, creative problem-solving, and a hands-on mentality
• Strong strategic, conceptual, methodological, and organizational skills

Additional Information

It is a permanent position.

It doesn’t work completely without formalities. When sending your online application, please attach your CV, an individual letter and any references you may have (max. 5 MB) and mark your application documents as “relevant for this application” in the online form.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Sindelfingen@mercedes-benz.com.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at hrservices@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).

• Meal-Discounts
• Mobile Phone possible
• Discounts for employees possible
• Annual profit share possible
• Events for employees
• Coaching
• Flexitime possible
• Hybrid Work possible
• Health Benefits
• Company Retirement
• Mobility offers
• Good public transport
• Canteen, Café
• Inhouse Doctor
• Barrier-free workplace

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